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Open AccessArticle

Geo-Sensor Framework and Composition Toolbox for Efficient Deployment of Multiple Spatial Context Service Platforms in Sensor Networks

Department of Computer Engineering, Jeju National University, Jeju 63243, Korea
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Appl. Sci. 2019, 9(23), 4993; https://doi.org/10.3390/app9234993
Received: 11 October 2019 / Revised: 5 November 2019 / Accepted: 6 November 2019 / Published: 20 November 2019
(This article belongs to the Special Issue Recent Advances in Geographic Information System for Earth Sciences)
Geo-sensor is the term used for the deployment of a wireless sensor network (WSN) in a real environment, which can be a hideous task due to many influential variables in a given environment. The spatial context of a sensor in a smart environment can be of huge significance and can also play an important role in improving the smart services provision. In this work, we propose a DIY geo-sensor framework and data composition toolbox for the deployment of sensors data in smart IoT environments along with geographical context. A geo-sensor framework is deployed, which enables the registration of multiple geo-sensor networks by providing multiple geo-sensor platforms. The framework’s logic is based on the combination of a geo-sensor service registry, geo-sensor composition toolbox, and geo-sensor platforms. A geo-sensor platform provides the content to the toolbox, enabling relaxed real-time geo-sensor data management. Our proposed work is two-fold. Firstly, we propose the design details for the geo-sensor framework and composition toolbox. The proposed design for the geo-sensor framework aims to provide a DIY platform for multiple geo-sensor networks and services deployment, giving access to multiple users resulting in reuse of resources and reduction in deployment costs by avoiding duplicate deployments. Secondly, we implement the proposed design based on RESTful web services and SOAP web services. Performance comparison analysis is then performed among the two web services to find the best suited implementation for given scenarios. The results of the performance analysis prove that RESTful web services are the better choice for ease of implementation, access, and light-weightiness. View Full-Text
Keywords: geo-sensor framework; geo-sensor platform (GIS); sensor networks; do-it-yourself (DIY) geo-sensor framework; geo-sensor platform (GIS); sensor networks; do-it-yourself (DIY)
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MDPI and ACS Style

Malik, S.; Kim, D. Geo-Sensor Framework and Composition Toolbox for Efficient Deployment of Multiple Spatial Context Service Platforms in Sensor Networks. Appl. Sci. 2019, 9, 4993. https://doi.org/10.3390/app9234993

AMA Style

Malik S, Kim D. Geo-Sensor Framework and Composition Toolbox for Efficient Deployment of Multiple Spatial Context Service Platforms in Sensor Networks. Applied Sciences. 2019; 9(23):4993. https://doi.org/10.3390/app9234993

Chicago/Turabian Style

Malik, Sehrish; Kim, DoHyeun. 2019. "Geo-Sensor Framework and Composition Toolbox for Efficient Deployment of Multiple Spatial Context Service Platforms in Sensor Networks" Appl. Sci. 9, no. 23: 4993. https://doi.org/10.3390/app9234993

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